Data Analytics Solution Architect

Employment DetailsLocation: Ang Mo Kio Working Hours: Mon – Fri, 8:30am – 6:00pm Salary: $7,000 – $9,000 + $50 allowance Contract: 1-year (renewable) Eligibility: Singaporeans only (Cat 1 G50 clearance) Special Requirement: • Candidates must have prior experience in high-security government environments • Must have previously obtained high-level security clearance • Familiar with strict government security, governance, and compliance frameworks Role OverviewAs a Data Analytics Solution Architect, you will design and deliver scalable, secure, and high-performance data analytics solutions to drive business outcomes. You will provide enterprise-level architecture across data, infrastructure, and cloud environments, including Government Commercial Cloud (GCC) and secure government cloud environments, while acting as a bridge between business stakeholders, data teams, and IT/infrastructure teams. Key Responsibilities1. Solution Design & Architecture• Design end-to-end data platforms: data pipelines, warehouses, lakes, lakehouses, analytics/reporting systems • Translate business requirements into architecture designs & technical specifications • Define architectures across cloud-native, hybrid, and on-prem environments • Establish best practices for data modelling, ETL/ELT, analytics platforms, reporting frameworks • Ensure alignment with enterprise architecture, security policies, and technology roadmaps 2. Data Integration & Management• Design ETL/ELT pipelines, data governance, metadata, and data quality frameworks • Oversee development of data models, dashboards, analytics solutions • Integrate structured, semi-structured, and unstructured data • Implement data lineage, traceability, and auditability 3. Enterprise Architecture (Cloud & Infrastructure)• Design across public, private, hybrid, and on-prem environments • Strong experience in GCC and secure government cloud environments • Define target-state and transition architectures across: Compute, storage, networking, security, platform services • Ensure integration between data platforms and enterprise infrastructure 4. Technology & Tools• Evaluate tools for data storage, analytics, integration, orchestration, visualisation, cloud infrastructure • Provide guidance on cloud-native services, containerisation, orchestration, platform modernisation 5. Performance Optimisation• Optimise performance, scalability, reliability, and cost efficiency • Implement best practices for data processing, storage, and query performance • Optimise across application and infrastructure layers 6. Security, Risk & Compliance• Ensure compliance with government security policies and regulations • Implement data security architecture and risk mitigation strategies 7. Leadership & Stakeholder Management• Collaborate with data engineers, data scientists, BAs, infra & ops teams • Mentor junior engineers/architects • Translate technical solutions into business insights • Lead architecture reviews, governance, and technical assurance RequirementsEducation• Degree in Computer Science, Data Science, Engineering, or related field Technical SkillsData & Analytics • Data warehousing, data lakes, lakehouses • ETL / ELT pipelines • Data governance, MDM, data quality, BI • Data modelling: dimensional, data vault, domain models Cloud & Infrastructure • Enterprise infrastructure: network, storage, compute, security • Cloud platforms: AWS, Azure, GCP • Experience in GCC / secure government cloud environments Engineering & Tools • SQL, Python • Containerisation: Docker, Kubernetes • CI/CD pipelines for data platforms • Infrastructure as Code: Terraform, CloudFormation • Cloud-native data services Data Security & Governance • Encryption (at rest/in transit), key & secrets management • Secure data access patterns • Data lineage, metadata, catalog tools Additional (Good to Have) • Machine Learning / MLOps • Streaming & event-driven architecture (message queues, pub/sub) • REST APIs & service integration • Performance tuning (query, storage, cost optimisation) • Observability (logging, monitoring, SLA) Experience & Security• Minimum 7+ years in data/enterprise architecture • Experience delivering large-scale enterprise analytics & cloud solutions • Strong familiarity with • government security, governance, and compliance frameworks • Must have: • Experience in high-security government projects • High-level security clearance (CAT1/G50 equivalent)